Use case
Recommendation system to increase customer satisfaction, sales and reduce churn rate
The COVID-19 pandemic has changed the way users interact with content and what do they expect from brands.
With growing information density and product overload, companies are not maximizing their content and user data to meet customer expectations more efficiently and ensure that the customer experience is more personalized.

What do we solve?
The traditional solutions that are currently used for content management, CRM’s, and e-commerce lack the necessary analytical abilities to exploit data and match relevant suggestions with user behaviour. Collecting and integrating is a critical part of the user analysis process, but this requires a higher quality system.
How do we solve it?
dezzai Semantic AI platform will:

Create a single datalake to accumulate content and user data and merge data points from different sources and formats.

Implement algorithms to increase the accuracy of matching between products, content, and users.

Embed the recommendation system into a third-party CMS, CRMs, e-commerce software etc.
WHAT do we deliver

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A custom recommendation system of contents and products which delivers more accurate personalized suggestions-actions. This tool can foresee user behaviour and choices with state-of-the-art machine learning models, to make sure that suggestions are more relevant to the user.
Benefits of applying Artificial Intelligence




Use cases

Content recommendation (CMS), e-commerce product recommendation, CRM product – offer recommendation

Social networking

Advertising engine

Collaboration filtering

User segmentation and clustering

Knowledge base recommendations
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